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Appraising patient preference methods for decision-making in the medical product lifecycle: an empirical comparison

Overview of attention for article published in BMC Medical Informatics and Decision Making, June 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Appraising patient preference methods for decision-making in the medical product lifecycle: an empirical comparison
Published in
BMC Medical Informatics and Decision Making, June 2020
DOI 10.1186/s12911-020-01142-w
Pubmed ID
Authors

Chiara Whichello, Bennett Levitan, Juhaeri, Vaishali Patadia, Rachael DiSantostefano, Cathy Anne Pinto, Esther W. de Bekker-Grob

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Student > Master 6 18%
Other 4 12%
Student > Doctoral Student 3 9%
Student > Bachelor 2 6%
Other 2 6%
Unknown 11 32%
Readers by discipline Count As %
Medicine and Dentistry 6 18%
Psychology 3 9%
Engineering 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Economics, Econometrics and Finance 2 6%
Other 8 24%
Unknown 10 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 August 2022.
All research outputs
#2,816,208
of 22,448,731 outputs
Outputs from BMC Medical Informatics and Decision Making
#222
of 1,962 outputs
Outputs of similar age
#63,445
of 310,466 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 10 outputs
Altmetric has tracked 22,448,731 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,962 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 310,466 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.